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Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China
As uncontrolled urban growth has increasingly challenged the sustainable use of urban land, it is critically important to model urban growth from different perspectives. Using the SLEUTH (Slope, Land use, Exclusion, Urban, Transportation, and Hill-shade) model, the historical data of Hefei in 2000,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837527/ https://www.ncbi.nlm.nih.gov/pubmed/31697748 http://dx.doi.org/10.1371/journal.pone.0224998 |
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author | Liu, Yunqiang Li, Long Chen, Longqian Cheng, Liang Zhou, Xisheng Cui, Yifan Li, Han Liu, Weiqiang |
author_facet | Liu, Yunqiang Li, Long Chen, Longqian Cheng, Liang Zhou, Xisheng Cui, Yifan Li, Han Liu, Weiqiang |
author_sort | Liu, Yunqiang |
collection | PubMed |
description | As uncontrolled urban growth has increasingly challenged the sustainable use of urban land, it is critically important to model urban growth from different perspectives. Using the SLEUTH (Slope, Land use, Exclusion, Urban, Transportation, and Hill-shade) model, the historical data of Hefei in 2000, 2005, 2010, and 2015 were collected and input to simulate urban growth from 2015 to 2040. Three different urban growth scenarios were considered, namely a historical growth scenario, an urban planning growth scenario, and a land suitability growth scenario. Prediction results show that by 2040 urban built-up land would increase to 1434 km(2) in the historical growth scenario, to 1190 km(2) in the urban planning growth scenario, and to 1217 km(2) in the land suitability growth scenario. We conclude that (1) exclusion layers without effective limits might result in unreasonable prediction of future built-up land; (2) based on the general land use map, the urban growth prediction took the governmental policies into account and could reveal the development hotspots in urban planning; and (3) the land suitability scenario prediction was the result of the trade-off between ecological land and built-up land as it used the MCR -based (minimum cumulative resistance model) land suitability assessment result. It would help to form a compact urban space and avoid excessive protection of farmland and ecological land. Findings derived from this study may provide urban planners with interesting insights on formulating urban planning strategies. |
format | Online Article Text |
id | pubmed-6837527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68375272019-11-14 Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China Liu, Yunqiang Li, Long Chen, Longqian Cheng, Liang Zhou, Xisheng Cui, Yifan Li, Han Liu, Weiqiang PLoS One Research Article As uncontrolled urban growth has increasingly challenged the sustainable use of urban land, it is critically important to model urban growth from different perspectives. Using the SLEUTH (Slope, Land use, Exclusion, Urban, Transportation, and Hill-shade) model, the historical data of Hefei in 2000, 2005, 2010, and 2015 were collected and input to simulate urban growth from 2015 to 2040. Three different urban growth scenarios were considered, namely a historical growth scenario, an urban planning growth scenario, and a land suitability growth scenario. Prediction results show that by 2040 urban built-up land would increase to 1434 km(2) in the historical growth scenario, to 1190 km(2) in the urban planning growth scenario, and to 1217 km(2) in the land suitability growth scenario. We conclude that (1) exclusion layers without effective limits might result in unreasonable prediction of future built-up land; (2) based on the general land use map, the urban growth prediction took the governmental policies into account and could reveal the development hotspots in urban planning; and (3) the land suitability scenario prediction was the result of the trade-off between ecological land and built-up land as it used the MCR -based (minimum cumulative resistance model) land suitability assessment result. It would help to form a compact urban space and avoid excessive protection of farmland and ecological land. Findings derived from this study may provide urban planners with interesting insights on formulating urban planning strategies. Public Library of Science 2019-11-07 /pmc/articles/PMC6837527/ /pubmed/31697748 http://dx.doi.org/10.1371/journal.pone.0224998 Text en © 2019 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Yunqiang Li, Long Chen, Longqian Cheng, Liang Zhou, Xisheng Cui, Yifan Li, Han Liu, Weiqiang Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China |
title | Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China |
title_full | Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China |
title_fullStr | Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China |
title_full_unstemmed | Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China |
title_short | Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China |
title_sort | urban growth simulation in different scenarios using the sleuth model: a case study of hefei, east china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837527/ https://www.ncbi.nlm.nih.gov/pubmed/31697748 http://dx.doi.org/10.1371/journal.pone.0224998 |
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